Evaluate LLMs and RAG a practical example using Langchain and Hugging Face
Read OriginalThis technical tutorial explores practical methods for evaluating Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems. It demonstrates a hands-on example using Langchain and the Hugging Face Inference API to assess models like Llama-2 on criteria such as helpfulness and relevance, and discusses using LLMs like GPT-4 as automated judges for evaluation.
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